Method and system for detecting self-adaption frequency spectrum

Abstract

The invention relates to a method and a system for detecting a self-adaption frequency spectrum. The method comprises the following steps of: detecting by a plurality of cognizing users according to a preset detecting time when the detection begins, sending a detecting message to a centre unit by the cognizing users; acquiring an accessing opportunity judging result of the detection at this time by the centre unit using a judging model which has a certain false dismissal probability and the smallest false-alarm probability, determining the detection starting time for the next detection of the cognizing users according to the detections at this time and at the last time, storing the accessing opportunity judging result of the detection at this time by the centre unit and sending the accessing opportunity judging result and the detection starting time for the next detection to the cognizing users. The method of the invention increases the accessing opportunity by setting the detection time by the judging model which has a certain false dismissal probability and the smallest false-alarm probability and by determining the detection starting time for the next detection of the cognizing users according to the judging result of the detections at this time and at the last time.

Description

technical field [0001] The invention relates to a spectrum detection method and system, in particular to an adaptive spectrum detection method and system. Background technique [0002] Cognitive radio network senses the external environment and uses artificial intelligence technology to learn from the environment, and purposefully changes certain operating parameters (such as transmission power, carrier power, and modulation) in real time to adapt its internal state to the received wireless signal. Statistical changes of , so as to realize highly reliable communication at any time and any place, and efficiently utilize wireless spectrum resources with priority in heterogeneous network environments. Users in a cognitive radio network are called cognitive users, and users who purchase frequency band usage rights are called authorized users. Authorized users have a higher priority in using frequency bands than cognitive users. Cognitive users need to ensure that the interferenc...

AI Technical Summary

Problems solved by technology

In order to solve the above problems in the prior art, the maximum ratio combining criterion and the equal gain combining criterion in the hard decision or soft decision are usually used, but the main implementation purpose of the maximum ratio combining criterion and the equal gain combining criterion is to detect authorized users, so the existing Technological approaches have not been effective in improving access

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